David Masad
Impact in
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- Simulation Techniques and Applications
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- Transportation Planning and Optimization
Papers in
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- Complex Network Analysis Techniques 4
- Opinion Dynamics and Social Influence 4
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- Complex Systems and Time Series Analysis 2
- Housing Market and Economics 1
- Co-authors
- Andrew Crooks (2 shared papers)Anthony Stefanidis (1 shared paper)Arie Croitoru (1 shared paper)Jacek Radzikowski (1 shared paper)Johannes Schmidt (2 shared papers)Giuliano Andrea Pagani (3 shared papers)Holly K. Arnold (2 shared papers)J. Doyne Farmer (1 shared paper)
- Journals
- Social Science Computer Review (1 paper)Lecture notes in computer science (1 paper)Studies in computational intelligence (1 paper)Data Archiving and Networked Services (DANS) (1 paper)SSRN Electronic Journal (1 paper)
- Partner nations
- United StatesAustriaNetherlands
In The Last Decade
David Masad
7 papers receiving 228 citations
Peers
Comparison fields: 5 of 89
- Management Science and Operations Research 37
- Transportation 18
- Statistical and Nonlinear Physics 30
- Communication 13
- Automotive Engineering 20
Countries citing papers authored by David Masad
This map shows the geographic impact of David Masad's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by David Masad with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites David Masad more than expected).
Fields of papers citing papers by David Masad
This network shows the impact of papers produced by David Masad. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by David Masad. The network helps show where David Masad may publish in the future.
Co-authors
The 12 scholars most cited alongside David Masad, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2015 | 134 | |
| 2 | 2020 | 79 | |
| 3 | 2013 | 9 | |
| 4 | 2024 | 4 | |
| 5 | Complex Networks V | 2014 | 2 |
| 6 | 2014 | 2 | |
| 7 | NetAttack: Co-Evolution of Network and Attacker | 2013 | 2 |
About David Masad
David Masad is a scholar working on Statistical and Nonlinear Physics, Economics and Econometrics, Sociology and Political Science, Communication and Finance, having authored 7 papers that have together received 232 indexed citations. Recurring topics across this work include Complex Network Analysis Techniques (4 papers), Opinion Dynamics and Social Influence (4 papers), Complex Systems and Time Series Analysis (2 papers), Evolutionary Game Theory and Cooperation (2 papers), Housing Market and Economics (1 paper), Housing, Finance, and Neoliberalism (1 paper), Social Media and Politics (1 paper) and Financial Literacy, Pension, Retirement Analysis (1 paper). The work is most often cited by research in Management Science and Operations Research (37 citations), Transportation (18 citations), Statistical and Nonlinear Physics (30 citations), Communication (13 citations) and Automotive Engineering (20 citations). David Masad has collaborated with scholars based in United States, Austria and Netherlands. Frequent co-authors include Andrew Crooks, Anthony Stefanidis, Arie Croitoru, Jacek Radzikowski, Johannes Schmidt, Giuliano Andrea Pagani, Holly K. Arnold, J. Doyne Farmer, Robert L. Axtell and John Geanakoplos. Their work appears in journals such as Social Science Computer Review, Lecture notes in computer science, Studies in computational intelligence, Data Archiving and Networked Services (DANS) and SSRN Electronic Journal.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.